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A tree search heuristic for the container retrieval problem

In: Operations Research Proceedings 2011

Author

Listed:
  • Florian Forster

    (University of Hagen)

  • Andreas Bortfeldt

    (University of Hagen)

Abstract

The problem of finding a sequence of crane moves in order to retrieve all containers from a block of container stacks in a predefined order with a minimum of crane move time is called the container retrieval problem. In this article, we describe a tree search heuristic based on a natural classification scheme of crane moves that is able to solve the container retrieval problem for typical problem dimensions in very short computation times. A comparison with the approach recently published by Lee and Lee (2010) shows that the heuristic is a very competitive method for solving the container retrieval problem. The mean crane move time for the tested problem instances could be reduced by 15.7 %, the average number of crane moves was reduced by 8.7 %, while the computation speed could be drastically improved from several hours to less than 10 seconds on average, the latter being especially important for the application in container terminals where the retrieval decisions have to be made in short periods of time.

Suggested Citation

  • Florian Forster & Andreas Bortfeldt, 2012. "A tree search heuristic for the container retrieval problem," Operations Research Proceedings, in: Diethard Klatte & Hans-Jakob Lüthi & Karl Schmedders (ed.), Operations Research Proceedings 2011, edition 127, pages 257-262, Springer.
    • Handle: RePEc:spr:oprchp:978-3-642-29210-1_41
    DOI: 10.1007/978-3-642-29210-1_41
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    Citations

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    Cited by:

    1. Lehnfeld, Jana & Knust, Sigrid, 2014. "Loading, unloading and premarshalling of stacks in storage areas: Survey and classification," European Journal of Operational Research, Elsevier, vol. 239(2), pages 297-312.
    2. Jin, Bo & Tanaka, Shunji, 2023. "An exact algorithm for the unrestricted container relocation problem with new lower bounds and dominance rules," European Journal of Operational Research, Elsevier, vol. 304(2), pages 494-514.
    3. Andresson Silva Firmino & Ricardo Martins Abreu Silva & Valéria Cesário Times, 2019. "A reactive GRASP metaheuristic for the container retrieval problem to reduce crane’s working time," Journal of Heuristics, Springer, vol. 25(2), pages 141-173, April.
    4. Raka Jovanovic & Shunji Tanaka & Tatsushi Nishi & Stefan Voß, 2019. "A GRASP approach for solving the Blocks Relocation Problem with Stowage Plan," Flexible Services and Manufacturing Journal, Springer, vol. 31(3), pages 702-729, September.
    5. Jin, Bo & Zhu, Wenbin & Lim, Andrew, 2015. "Solving the container relocation problem by an improved greedy look-ahead heuristic," European Journal of Operational Research, Elsevier, vol. 240(3), pages 837-847.

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